Generic
Geekbench AI Score
17374
Single Precision Score
27022
Half Precision Score
11592
Quantized Score
Geekbench AI 1.3.0 for Windows AVX2
Result Information
| Upload Date | May 09 2025 06:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | DirectML |
| Device | NVIDIA GeForce RTX 3070 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 (64-bit) |
| Model | Generic |
| Motherboard | ASRock B560 Pro4 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-10400F |
| Topology | 1 Processor, 6 Cores, 12 Threads |
| Identifier | GenuineIntel Family 6 Model 165 Stepping 3 |
| Base Frequency | 2.90 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 24.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6618
1.23 KIPS |
|
|
Image Classification (HP)
|
99% |
10083
1.88 KIPS |
|
|
Image Classification (Q)
|
100% |
5033
935.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
10405
168.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
14059
227.9 IPS |
|
|
Image Segmentation (Q)
|
98% |
8341
135.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
106415
124.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
283173
330.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
85136
99.8 IPS |
|
|
Object Detection (SP)
|
100% |
8865
703.1 IPS |
|
|
Object Detection (HP)
|
100% |
12799
1.02 KIPS |
|
|
Object Detection (Q)
|
85% |
6629
533.7 IPS |
|
|
Face Detection (SP)
|
100% |
19987
237.5 IPS |
|
|
Face Detection (HP)
|
100% |
29317
348.4 IPS |
|
|
Face Detection (Q)
|
97% |
15493
184.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
46192
355.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
80785
622.4 IPS |
|
|
Depth Estimation (Q)
|
77% |
30175
241.7 IPS |
|
|
Style Transfer (SP)
|
100% |
176041
226.3 IPS |
|
|
Style Transfer (HP)
|
100% |
406084
522.0 IPS |
|
|
Style Transfer (Q)
|
98% |
135212
174.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28656
1.06 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
39661
1.46 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
16721
619.1 IPS |
|
|
Text Classification (SP)
|
100% |
2773
3.70 KIPS |
|
|
Text Classification (HP)
|
99% |
3534
4.72 KIPS |
|
|
Text Classification (Q)
|
97% |
1324
1.77 KIPS |
|
|
Machine Translation (SP)
|
100% |
2988
51.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2998
51.6 IPS |
|
|
Machine Translation (Q)
|
70% |
1322
24.8 IPS |
